Sentence examples for using hierarchical multiple regression from inspiring English sources

The relationship between illness representations and stage of change was explored in the two groups separately using hierarchical multiple regression analyses.

Using hierarchical multiple regression we found that preference for immediate rewards was related to the Nonplanning impulsiveness subscale of the BIS and, after controlling for other variables, also related to intelligence.

When pretest CT knowledge was added to the analysis using hierarchical multiple regression, all variables except white race became nonsignificant; an increase in CT knowledge was associated with having lower pretest CT knowledge.

When pretest CT beliefs was added to the analysis using hierarchical multiple regression, all other variables became nonsignificant; an increase in CT beliefs was associated with having lower pretest CT beliefs, again indicating mediation of the effects of other variables.

The unique relation between emotional expression and body dissatisfaction was analyzed using hierarchical multiple regression.

Longitudinal associations between the anthropometric measures (BMI, FMI, WC) and physical activity were examined using hierarchical multiple regression.

These research questions were answered by using hierarchical multiple regressions and a t test.

Incremental validity of the SHI over and above background variables, pain intensity, depression, and pain-related anxiety was further examined using hierarchical multiple regressions of the two subscales of the SHI in relation to sleep quality (dependent variable).

With the significant covariates established, we then used hierarchical multiple regression models to investigate whether genetic diversity predicted health (number of symptoms) after controlling for the covariates.

We used hierarchical multiple regression to examine to what extent the individual protective factors and all possible combinations at Time 1 are associated with change in functional health over the 8 to 10 years, and whether the association with age is moderated by the number of protective factors.

In addition, we used hierarchical multiple regression to conduct the moderation effect analysis.